View-independent person identification fro human gait
نویسندگان
چکیده
CA) Based on a three-dimensional (3D) linear model and the Bayesian rule, a method is e to identify human walkers from two-dimensional (2D) motion sequences taken from d viewpoints. Principal component analysis constructs the 3D linear model from a set of represented examples. The sets of coefficients derived from projecting 2D motion se onto the 3D model by means of a maximum a posterior estimate is used as a signatu walker. Simulating an identification experiment on a set of walking data we show th signatures show invariance across viewpoints and can be used for viewpoint-inde person identification. r 2005 Elsevier B.V. All rights reserved.
منابع مشابه
Gait-based Human Identification from a Monocular Video Sequence
Human gait is a spatio-temporal phenomenon that characterizes the motion characteristics of an individual. It is possible to detect and measure gait even in lowresolution video. In this chapter, we discuss algorithms for identifying people by their gait from a monocular video sequence. Human identification using gait, similar to text-based speaker identification, involves different individuals ...
متن کاملView-independent person identification from human gait
Based on a three-dimensional (3D) linear model and the Bayesian rule,a method is explored to identify human walkers from two-dimensional (2D) motion sequences taken from different viewpoints. Principal component analysis constructs the 3D linear model from a set of Fourier represented examples. The sets of coefficients derived from projecting 2D motion sequences onto the 3D model by means of a ...
متن کاملView Independent Human Identification by Gait Analysis using Skeletal Data and Dynamic Time Warping
Microsoft Kinect is a motion sensing device that allows us to conveniently capture human body motions and extract skeletal data. For biometric from human gait, Kinect lets us extract more kind and more complicated gait features which help improve identification accuracy. This paper proposes biometric from human gait technique from view independent gait analysis based on the Kinect’s motion trac...
متن کاملTopic Model for Person Identification using Gait Sequence Analysis
Gait sequence analysis from the input binary silhouettes, has various applications, such as person identification, human action recognition, event recognition and classification. The gait feature extraction is a key step in gait analysis. The ’Topic Model’, used for text classification, is one of the potential semantic approaches to study gait sequence analysis. The proposed algorithm uses Late...
متن کاملTopic Model for Person Identification using Gait Sequence Analysis
Gait sequence analysis from the input binary silhouettes, has various applications, such as person identification, human action recognition, event recognition and classification. The gait feature extraction is a key step in gait analysis. The ’Topic Model’, used for text classification, is one of the potential semantic approaches to study gait sequence analysis. The proposed algorithm uses Late...
متن کامل